Fang Han

92 total papers · 1.5k total citations
64 papers, 1.1k citations indexed

About

Fang Han is a scholar working on Immunology, Molecular Biology and Aquatic Science. According to data from OpenAlex, Fang Han has authored 64 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Immunology, 24 papers in Molecular Biology and 9 papers in Aquatic Science. Recurrent topics in Fang Han's work include Aquaculture disease management and microbiota (26 papers), Invertebrate Immune Response Mechanisms (22 papers) and Aquaculture Nutrition and Growth (9 papers). Fang Han is often cited by papers focused on Aquaculture disease management and microbiota (26 papers), Invertebrate Immune Response Mechanisms (22 papers) and Aquaculture Nutrition and Growth (9 papers). Fang Han collaborates with scholars based in China, United States and Taiwan. Fang Han's co-authors include Xiaobo Zhang, Jianyang Xu, Yujia Wang, Han Zhang, Chunchen Xiang, Zhiyong Wang, Xiaobo Zhang, Weifeng Liu, Xiaoqing Wang and Qing Song and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Agricultural and Food Chemistry and International Journal of Molecular Sciences.

In The Last Decade

Fang Han

59 papers receiving 1.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Fang Han 643 377 213 156 133 64 1.1k
V. Sarath Babu 748 1.2× 401 1.1× 350 1.6× 56 0.4× 60 0.5× 48 1.3k
Qinghui Liu 413 0.6× 286 0.8× 146 0.7× 26 0.2× 140 1.1× 57 1.0k
Xixi Li 370 0.6× 381 1.0× 97 0.5× 31 0.2× 111 0.8× 61 989
Yanwei Li 475 0.7× 486 1.3× 113 0.5× 53 0.3× 69 0.5× 79 1.3k
Xiumei Wei 810 1.3× 483 1.3× 172 0.8× 27 0.2× 64 0.5× 71 1.4k
Shao‐Yang Hu 748 1.2× 464 1.2× 655 3.1× 115 0.7× 45 0.3× 48 1.5k
Ettore Varricchio 223 0.3× 191 0.5× 269 1.3× 64 0.4× 60 0.5× 76 1.1k
Zoltán Hegedüs 579 0.9× 579 1.5× 33 0.2× 310 2.0× 144 1.1× 78 1.5k
Kun Qiao 228 0.4× 498 1.3× 112 0.5× 36 0.2× 91 0.7× 62 946
Hongling Ma 499 0.8× 299 0.8× 248 1.2× 49 0.3× 25 0.2× 62 1.1k

Countries citing papers authored by Fang Han

Since Specialization
Citations

This map shows the geographic impact of Fang Han's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Fang Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fang Han more than expected).

Fields of papers citing papers by Fang Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fang Han. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Fang Han. The network helps show where Fang Han may publish in the future.

Co-authorship network of co-authors of Fang Han

This figure shows the co-authorship network connecting the top 25 collaborators of Fang Han. A scholar is included among the top collaborators of Fang Han based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fang Han. Fang Han is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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